[2026-04-22T23:20:34.036Z] Running test renaissance-movie-lens_0 ... [2026-04-22T23:20:34.036Z] =============================================== [2026-04-22T23:20:34.036Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 23:20:33 2026 Epoch Time (ms): 1776900033904 [2026-04-22T23:20:34.036Z] variation: NoOptions [2026-04-22T23:20:34.036Z] JVM_OPTIONS: [2026-04-22T23:20:34.036Z] { \ [2026-04-22T23:20:34.036Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T23:20:34.036Z] echo "Nothing to be done for setup."; \ [2026-04-22T23:20:34.036Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1776900032471/renaissance-movie-lens_0"; \ [2026-04-22T23:20:34.036Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1776900032471/renaissance-movie-lens_0"; \ [2026-04-22T23:20:34.036Z] echo ""; echo "TESTING:"; \ [2026-04-22T23:20:34.036Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1776900032471/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T23:20:34.036Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1776900032471/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T23:20:34.036Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T23:20:34.036Z] echo "Nothing to be done for teardown."; \ [2026-04-22T23:20:34.036Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1776900032471/TestTargetResult"; [2026-04-22T23:20:34.036Z] [2026-04-22T23:20:34.036Z] TEST SETUP: [2026-04-22T23:20:34.036Z] Nothing to be done for setup. [2026-04-22T23:20:34.036Z] [2026-04-22T23:20:34.036Z] TESTING: [2026-04-22T23:20:57.290Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T23:21:31.121Z] 23:21:27.712 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T23:21:42.540Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T23:21:45.572Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T23:21:45.572Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T23:21:45.572Z] GC before operation: completed in 510.593 ms, heap usage 312.346 MB -> 77.230 MB. [2026-04-22T23:22:33.922Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:22:53.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:23:09.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:23:25.374Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:23:34.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:23:43.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:23:52.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:23:59.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:24:00.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:24:00.962Z] The best model improves the baseline by 14.52%. [2026-04-22T23:24:02.155Z] Top recommended movies for user id 72: [2026-04-22T23:24:02.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:24:02.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:24:02.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:24:02.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:24:02.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:24:02.155Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (136304.982 ms) ====== [2026-04-22T23:24:02.155Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T23:24:02.909Z] GC before operation: completed in 986.951 ms, heap usage 489.979 MB -> 96.082 MB. [2026-04-22T23:24:18.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:24:29.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:24:40.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:24:51.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:24:57.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:25:03.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:25:09.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:25:14.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:25:16.061Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:25:16.403Z] The best model improves the baseline by 14.52%. [2026-04-22T23:25:17.140Z] Top recommended movies for user id 72: [2026-04-22T23:25:17.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:25:17.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:25:17.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:25:17.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:25:17.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:25:17.140Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74203.428 ms) ====== [2026-04-22T23:25:17.140Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T23:25:18.355Z] GC before operation: completed in 924.114 ms, heap usage 992.493 MB -> 97.250 MB. [2026-04-22T23:25:29.353Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:25:40.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:25:49.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:25:58.379Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:26:04.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:26:10.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:26:16.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:26:21.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:26:22.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:26:22.754Z] The best model improves the baseline by 14.52%. [2026-04-22T23:26:23.485Z] Top recommended movies for user id 72: [2026-04-22T23:26:23.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:26:23.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:26:23.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:26:23.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:26:23.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:26:23.485Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (65419.717 ms) ====== [2026-04-22T23:26:23.485Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T23:26:24.683Z] GC before operation: completed in 978.384 ms, heap usage 582.439 MB -> 94.410 MB. [2026-04-22T23:26:35.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:26:43.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:26:52.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:27:01.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:27:07.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:27:13.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:27:19.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:27:25.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:27:26.247Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:27:26.247Z] The best model improves the baseline by 14.52%. [2026-04-22T23:27:27.430Z] Top recommended movies for user id 72: [2026-04-22T23:27:27.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:27:27.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:27:27.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:27:27.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:27:27.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:27:27.431Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (62727.379 ms) ====== [2026-04-22T23:27:27.431Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T23:27:28.178Z] GC before operation: completed in 935.567 ms, heap usage 322.175 MB -> 91.255 MB. [2026-04-22T23:27:39.144Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:27:50.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:28:01.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:28:12.402Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:28:19.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:28:27.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:28:34.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:28:40.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:28:41.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:28:41.764Z] The best model improves the baseline by 14.52%. [2026-04-22T23:28:42.496Z] Top recommended movies for user id 72: [2026-04-22T23:28:42.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:28:42.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:28:42.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:28:42.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:28:42.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:28:42.496Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (74467.438 ms) ====== [2026-04-22T23:28:42.496Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T23:28:43.699Z] GC before operation: completed in 967.137 ms, heap usage 168.796 MB -> 91.043 MB. [2026-04-22T23:28:52.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:29:01.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:29:10.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:29:19.772Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:29:23.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:29:28.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:29:34.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:29:40.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:29:40.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:29:41.165Z] The best model improves the baseline by 14.52%. [2026-04-22T23:29:41.903Z] Top recommended movies for user id 72: [2026-04-22T23:29:41.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:29:41.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:29:41.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:29:41.903Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:29:41.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:29:41.903Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58106.241 ms) ====== [2026-04-22T23:29:41.903Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T23:29:42.652Z] GC before operation: completed in 942.600 ms, heap usage 292.565 MB -> 91.583 MB. [2026-04-22T23:29:53.599Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:30:02.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:30:10.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:30:19.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:30:23.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:30:28.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:30:34.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:30:40.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:30:40.797Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:30:41.139Z] The best model improves the baseline by 14.52%. [2026-04-22T23:30:41.869Z] Top recommended movies for user id 72: [2026-04-22T23:30:41.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:30:41.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:30:41.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:30:41.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:30:41.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:30:41.869Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (59148.886 ms) ====== [2026-04-22T23:30:41.869Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T23:30:43.068Z] GC before operation: completed in 965.277 ms, heap usage 937.686 MB -> 96.020 MB. [2026-04-22T23:30:52.701Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:31:00.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:31:09.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:31:18.361Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:31:23.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:31:28.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:31:32.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:31:37.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:31:38.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:31:38.923Z] The best model improves the baseline by 14.52%. [2026-04-22T23:31:39.661Z] Top recommended movies for user id 72: [2026-04-22T23:31:39.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:31:39.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:31:39.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:31:39.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:31:39.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:31:39.661Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56997.706 ms) ====== [2026-04-22T23:31:39.661Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T23:31:40.880Z] GC before operation: completed in 926.450 ms, heap usage 190.682 MB -> 91.635 MB. [2026-04-22T23:31:49.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:31:58.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:32:06.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:32:15.318Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:32:19.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:32:25.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:32:30.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:32:34.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:32:35.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:32:35.941Z] The best model improves the baseline by 14.52%. [2026-04-22T23:32:36.682Z] Top recommended movies for user id 72: [2026-04-22T23:32:36.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:32:36.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:32:36.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:32:36.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:32:36.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:32:36.682Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55790.721 ms) ====== [2026-04-22T23:32:36.682Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T23:32:37.436Z] GC before operation: completed in 978.963 ms, heap usage 531.197 MB -> 91.771 MB. [2026-04-22T23:32:46.467Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:32:55.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:33:02.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:33:10.317Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:33:15.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:33:20.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:33:25.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:33:31.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:33:31.427Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:33:31.767Z] The best model improves the baseline by 14.52%. [2026-04-22T23:33:32.509Z] Top recommended movies for user id 72: [2026-04-22T23:33:32.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:33:32.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:33:32.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:33:32.509Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:33:32.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:33:32.509Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54813.758 ms) ====== [2026-04-22T23:33:32.510Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T23:33:33.264Z] GC before operation: completed in 943.804 ms, heap usage 501.811 MB -> 92.015 MB. [2026-04-22T23:33:42.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:33:49.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:33:58.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:34:06.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:34:10.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:34:15.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:34:20.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:34:26.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:34:26.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:34:26.921Z] The best model improves the baseline by 14.52%. [2026-04-22T23:34:27.652Z] Top recommended movies for user id 72: [2026-04-22T23:34:27.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:34:27.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:34:27.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:34:27.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:34:27.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:34:27.653Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54325.135 ms) ====== [2026-04-22T23:34:27.653Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T23:34:28.405Z] GC before operation: completed in 964.158 ms, heap usage 915.540 MB -> 95.844 MB. [2026-04-22T23:34:37.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:34:46.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:34:53.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:35:01.208Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:35:06.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:35:10.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:35:16.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:35:21.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:35:22.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:35:22.093Z] The best model improves the baseline by 14.52%. [2026-04-22T23:35:22.831Z] Top recommended movies for user id 72: [2026-04-22T23:35:22.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:35:22.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:35:22.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:35:22.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:35:22.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:35:22.832Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54405.387 ms) ====== [2026-04-22T23:35:22.832Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T23:35:24.044Z] GC before operation: completed in 963.050 ms, heap usage 188.666 MB -> 91.521 MB. [2026-04-22T23:35:33.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:35:40.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:35:49.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:35:56.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:36:01.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:36:06.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:36:12.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:36:17.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:36:18.431Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:36:18.431Z] The best model improves the baseline by 14.52%. [2026-04-22T23:36:19.189Z] Top recommended movies for user id 72: [2026-04-22T23:36:19.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:36:19.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:36:19.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:36:19.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:36:19.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:36:19.189Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55050.847 ms) ====== [2026-04-22T23:36:19.189Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T23:36:19.943Z] GC before operation: completed in 973.976 ms, heap usage 512.771 MB -> 92.046 MB. [2026-04-22T23:36:28.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:36:37.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:36:45.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:36:54.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:36:58.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:37:03.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:37:09.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:37:12.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:37:14.115Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:37:14.115Z] The best model improves the baseline by 14.52%. [2026-04-22T23:37:14.847Z] Top recommended movies for user id 72: [2026-04-22T23:37:14.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:37:14.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:37:14.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:37:14.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:37:14.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:37:14.848Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54931.230 ms) ====== [2026-04-22T23:37:14.848Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T23:37:16.063Z] GC before operation: completed in 975.092 ms, heap usage 375.525 MB -> 91.789 MB. [2026-04-22T23:37:25.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:37:32.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:37:41.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:37:48.905Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:37:53.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:37:58.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:38:03.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:38:08.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:38:09.483Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:38:09.483Z] The best model improves the baseline by 14.52%. [2026-04-22T23:38:10.212Z] Top recommended movies for user id 72: [2026-04-22T23:38:10.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:38:10.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:38:10.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:38:10.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:38:10.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:38:10.212Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54426.594 ms) ====== [2026-04-22T23:38:10.212Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T23:38:11.403Z] GC before operation: completed in 988.740 ms, heap usage 203.656 MB -> 91.688 MB. [2026-04-22T23:38:20.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:38:27.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:38:37.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:38:44.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:38:49.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:38:54.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:38:59.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:39:05.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:39:05.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:39:05.565Z] The best model improves the baseline by 14.52%. [2026-04-22T23:39:05.911Z] Top recommended movies for user id 72: [2026-04-22T23:39:05.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:39:05.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:39:05.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:39:05.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:39:05.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:39:05.911Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54783.844 ms) ====== [2026-04-22T23:39:05.911Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T23:39:07.097Z] GC before operation: completed in 1010.617 ms, heap usage 557.348 MB -> 92.082 MB. [2026-04-22T23:39:16.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:39:23.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:39:32.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:39:39.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:39:44.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:39:50.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:39:55.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:39:59.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:40:01.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:40:01.122Z] The best model improves the baseline by 14.52%. [2026-04-22T23:40:01.856Z] Top recommended movies for user id 72: [2026-04-22T23:40:01.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:40:01.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:40:01.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:40:01.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:40:01.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:40:01.856Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54735.824 ms) ====== [2026-04-22T23:40:01.856Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T23:40:03.064Z] GC before operation: completed in 993.592 ms, heap usage 258.318 MB -> 91.677 MB. [2026-04-22T23:40:12.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:40:19.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:40:28.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:40:36.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:40:40.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:40:45.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:40:51.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:40:56.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:40:56.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:40:56.980Z] The best model improves the baseline by 14.52%. [2026-04-22T23:40:57.711Z] Top recommended movies for user id 72: [2026-04-22T23:40:57.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:40:57.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:40:57.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:40:57.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:40:57.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:40:57.711Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55015.893 ms) ====== [2026-04-22T23:40:57.711Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T23:40:58.929Z] GC before operation: completed in 1001.173 ms, heap usage 182.741 MB -> 91.532 MB. [2026-04-22T23:41:07.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:41:15.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:41:24.451Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:41:31.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:41:36.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:41:41.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:41:46.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:41:51.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:41:51.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:41:51.954Z] The best model improves the baseline by 14.52%. [2026-04-22T23:41:52.683Z] Top recommended movies for user id 72: [2026-04-22T23:41:52.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:41:52.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:41:52.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:41:52.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:41:52.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:41:52.683Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53883.936 ms) ====== [2026-04-22T23:41:52.683Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T23:41:53.906Z] GC before operation: completed in 1007.175 ms, heap usage 729.192 MB -> 95.453 MB. [2026-04-22T23:42:03.243Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T23:42:10.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T23:42:19.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T23:42:27.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T23:42:31.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T23:42:36.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T23:42:42.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T23:42:46.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T23:42:47.960Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T23:42:47.960Z] The best model improves the baseline by 14.52%. [2026-04-22T23:42:48.694Z] Top recommended movies for user id 72: [2026-04-22T23:42:48.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T23:42:48.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T23:42:48.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T23:42:48.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T23:42:48.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T23:42:48.694Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (54836.794 ms) ====== [2026-04-22T23:42:51.711Z] ----------------------------------- [2026-04-22T23:42:51.711Z] renaissance-movie-lens_0_PASSED [2026-04-22T23:42:51.711Z] ----------------------------------- [2026-04-22T23:42:52.066Z] [2026-04-22T23:42:52.066Z] TEST TEARDOWN: [2026-04-22T23:42:52.066Z] Nothing to be done for teardown. [2026-04-22T23:42:52.066Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 23:42:51 2026 Epoch Time (ms): 1776901371784